wehub-resource-sync
1505 lines
62 KiB
Python
1505 lines
62 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import copy
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import os
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import pathlib
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import sys
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import weakref
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from absl.testing import parameterized
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from tensorflow.python.checkpoint import async_checkpoint_helper
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from tensorflow.python.checkpoint import checkpoint as trackable_utils
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from tensorflow.python.checkpoint import checkpoint_management
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from tensorflow.python.checkpoint import checkpoint_options
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from tensorflow.python.checkpoint import graph_view
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from tensorflow.python.checkpoint import save_util
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from tensorflow.python.eager import context
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import errors_impl
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import stack
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.ops import init_ops
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from tensorflow.python.ops import resource_variable_ops
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from tensorflow.python.ops import state_ops
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from tensorflow.python.ops import template
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from tensorflow.python.ops import variable_scope
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from tensorflow.python.ops import variable_v1
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from tensorflow.python.ops import variables as variables_lib
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from tensorflow.python.platform import test
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from tensorflow.python.platform import tf_logging as logging
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from tensorflow.python.saved_model import save as saved_model_save
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from tensorflow.python.trackable import autotrackable
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from tensorflow.python.trackable import base
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from tensorflow.python.training import checkpoint_utils
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from tensorflow.python.training import saver as saver_lib
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try:
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import psutil # pylint: disable=g-import-not-at-top
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psutil_import_succeeded = True
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except ImportError:
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psutil_import_succeeded = False
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class NonLayerTrackable(autotrackable.AutoTrackable):
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def __init__(self):
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super().__init__()
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self.a_variable = trackable_utils.add_variable(
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self, name="a_variable", shape=[])
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class InterfaceTests(test.TestCase):
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@test_util.run_in_graph_and_eager_modes(assert_no_eager_garbage=True)
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def testAddVariable(self):
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obj = NonLayerTrackable()
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with self.assertRaisesRegex(ValueError, "do not specify shape"):
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trackable_utils.add_variable(
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obj, name="shape_specified_twice", shape=[], initializer=1)
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constant_initializer = trackable_utils.add_variable(
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obj, name="constant_initializer", initializer=1)
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with variable_scope.variable_scope("some_variable_scope"):
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ones_initializer = trackable_utils.add_variable(
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obj,
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name="ones_initializer",
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shape=[2],
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initializer=init_ops.ones_initializer(dtype=dtypes.float32))
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bare_initializer = trackable_utils.add_variable(
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obj,
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name="bare_initializer",
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shape=[2, 2],
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dtype=dtypes.float64,
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initializer=init_ops.zeros_initializer)
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# Even in graph mode, there are no naming conflicts between objects, only
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# naming conflicts within an object.
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other_duplicate = resource_variable_ops.ResourceVariable(
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name="duplicate", initial_value=1.)
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duplicate = trackable_utils.add_variable(
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obj, name="duplicate", shape=[])
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with self.assertRaisesRegex(ValueError, "'duplicate'.*already declared"):
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trackable_utils.add_variable(obj, name="duplicate", shape=[])
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self.evaluate(trackable_utils.gather_initializers(obj))
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self.assertEqual("constant_initializer:0", constant_initializer.name)
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self.assertEqual(1, self.evaluate(constant_initializer))
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self.assertEqual("some_variable_scope/ones_initializer:0",
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ones_initializer.name)
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self.assertAllEqual([1, 1], self.evaluate(ones_initializer))
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self.assertAllEqual([[0., 0.],
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[0., 0.]], self.evaluate(bare_initializer))
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self.assertEqual("a_variable:0", obj.a_variable.name)
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self.assertEqual("duplicate:0", other_duplicate.name)
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if context.executing_eagerly():
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# When executing eagerly, there's no uniquification of variable names. The
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# checkpoint name will be the same.
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self.assertEqual("duplicate:0", duplicate.name)
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else:
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# The .name attribute may be globally influenced, but the checkpoint name
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# won't be (tested below).
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self.assertEqual("duplicate_1:0", duplicate.name)
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expected_checkpoint_names = {
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"a_variable/.ATTRIBUTES/VARIABLE_VALUE",
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"bare_initializer/.ATTRIBUTES/VARIABLE_VALUE",
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"constant_initializer/.ATTRIBUTES/VARIABLE_VALUE",
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"duplicate/.ATTRIBUTES/VARIABLE_VALUE",
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"ones_initializer/.ATTRIBUTES/VARIABLE_VALUE",
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}
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actual_checkpoint_names = _get_all_checkpoint_names(obj)
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self.assertEqual(expected_checkpoint_names, set(actual_checkpoint_names))
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def testInitNotCalled(self):
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class NoInit(autotrackable.AutoTrackable):
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def __init__(self):
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pass
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# __init__ for Trackable will be called implicitly.
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trackable_utils.add_variable(NoInit(), "var", shape=[])
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def testShapeDtype(self):
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root = autotrackable.AutoTrackable()
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v1 = trackable_utils.add_variable(
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root, name="v1", initializer=3., dtype=dtypes.float64)
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self.assertEqual(dtypes.float64, v1.dtype)
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v2 = trackable_utils.add_variable(
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root,
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name="v2",
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shape=[3],
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initializer=init_ops.ones_initializer,
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dtype=dtypes.float64)
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self.assertEqual(dtypes.float64, v2.dtype)
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self.assertAllEqual([1., 1., 1.], self.evaluate(v2))
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class _MirroringSaveable(saver_lib.BaseSaverBuilder.SaveableObject):
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def __init__(self, primary_variable, mirrored_variable, name):
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self._primary_variable = primary_variable
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self._mirrored_variable = mirrored_variable
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tensor = self._primary_variable.read_value()
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spec = saver_lib.BaseSaverBuilder.SaveSpec(
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tensor=tensor,
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slice_spec="",
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name=name)
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super().__init__(tensor, [spec], name)
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def restore(self, restored_tensors, restored_shapes):
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"""Restore the same value into both variables."""
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tensor, = restored_tensors
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return control_flow_ops.group(
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self._primary_variable.assign(tensor),
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self._mirrored_variable.assign(tensor))
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class _OwnsMirroredVariables(base.Trackable):
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"""A Trackable object which returns a more complex SaveableObject."""
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def __init__(self):
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self.non_dep_variable = variable_scope.get_variable(
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name="non_dep_variable", initializer=6., use_resource=True)
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self.mirrored = variable_scope.get_variable(
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name="mirrored", initializer=15., use_resource=True)
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def _gather_saveables_for_checkpoint(self):
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def _saveable_factory(name=self.non_dep_variable.name):
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return _MirroringSaveable(
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primary_variable=self.non_dep_variable,
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mirrored_variable=self.mirrored,
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name=name)
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return {base.VARIABLE_VALUE_KEY: _saveable_factory}
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# The Saver sorts by name before parsing, so we need a name property.
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@property
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def name(self):
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return self.non_dep_variable.name
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def _get_all_checkpoint_names(root):
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serialized_tensors, _, _, _ = save_util.serialize_graph_view(
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graph_view.ObjectGraphView(root))
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checkpoint_names = []
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for tensor_dict in serialized_tensors.values():
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checkpoint_names.extend(tensor_dict.keys())
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return checkpoint_names
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class CheckpointingTests(parameterized.TestCase, test.TestCase):
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@parameterized.named_parameters(
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("_enable_async_ckpt", True),
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("_disable_async_ckpt", False)
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)
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@test_util.run_in_graph_and_eager_modes
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def testMoreComplexSaveableReturned(self, enable_async_ckpt):
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v = _OwnsMirroredVariables()
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checkpoint = trackable_utils.Checkpoint(v=v)
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test_dir = self.get_temp_dir()
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prefix = os.path.join(test_dir, "ckpt")
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self.evaluate(v.non_dep_variable.assign(42.))
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ckpt_options = checkpoint_options.CheckpointOptions(
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experimental_enable_async_checkpoint=enable_async_ckpt)
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save_path = checkpoint.save(file_prefix=prefix, options=ckpt_options)
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# TODO(chienchunh): Identify why sync needs to be called here.
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if enable_async_ckpt:
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checkpoint.sync()
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self.evaluate(v.non_dep_variable.assign(43.))
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self.evaluate(v.mirrored.assign(44.))
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checkpoint.restore(save_path).assert_consumed().initialize_or_restore()
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self.assertEqual(42., self.evaluate(v.non_dep_variable))
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self.assertEqual(42., self.evaluate(v.mirrored))
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self.evaluate(v.non_dep_variable.assign(44.))
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save_path = checkpoint.save(file_prefix=prefix, options=ckpt_options)
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# TODO(chienchunh): Identify why sync needs to be called here.
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if enable_async_ckpt:
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checkpoint.sync()
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self.evaluate(v.non_dep_variable.assign(45.))
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checkpoint.restore(save_path).assert_consumed().initialize_or_restore()
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self.assertEqual(44., self.evaluate(v.non_dep_variable))
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self.assertEqual(44., self.evaluate(v.mirrored))
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@test_util.run_in_graph_and_eager_modes
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def testMoreComplexSaveableReturnedWithGlobalName(self):
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# The same object can also be saved using the name-based saver.
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v = _OwnsMirroredVariables()
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saver = saver_lib.Saver(var_list=[v])
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test_dir = self.get_temp_dir()
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prefix = os.path.join(test_dir, "ckpt")
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with self.cached_session() as sess:
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self.evaluate(v.non_dep_variable.assign(42.))
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save_path = saver.save(sess, prefix)
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self.evaluate(v.non_dep_variable.assign(43.))
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self.evaluate(v.mirrored.assign(44.))
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saver.restore(sess, save_path)
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self.assertEqual(42., self.evaluate(v.non_dep_variable))
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self.assertEqual(42., self.evaluate(v.mirrored))
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@parameterized.named_parameters(
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("_enable_async_ckpt", True),
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("_disable_async_ckpt", False)
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)
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@test_util.run_in_graph_and_eager_modes
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def testAssertConsumedNoCheckpoint(self, enable_async_ckpt):
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prefix = os.path.join(self.get_temp_dir(), "ckpt")
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v = variable_scope.get_variable(name="v", initializer=0.)
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self.evaluate(v.initializer)
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ckpt = trackable_utils.Checkpoint(v=v)
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self.evaluate(trackable_utils.gather_initializers(ckpt))
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ckpt_options = checkpoint_options.CheckpointOptions(
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experimental_enable_async_checkpoint=enable_async_ckpt)
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save_path = ckpt.save(file_prefix=prefix, options=ckpt_options)
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status = ckpt.restore(save_path=save_path)
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del ckpt
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status.assert_consumed()
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def testDeepCopyCheckpoint(self):
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prefix = os.path.join(self.get_temp_dir(), "ckpt")
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v = variables_lib.Variable(1.)
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original_ckpt = trackable_utils.Checkpoint(v=v)
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copied_ckpt = copy.deepcopy(original_ckpt)
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copied_ckpt.v.assign(2.)
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self.assertAllClose(1., v)
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save_path = copied_ckpt.save(file_prefix=prefix)
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status = original_ckpt.restore(save_path=save_path)
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status.expect_partial()
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self.assertAllClose(2., v)
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def testDeepCopyCheckpointCopiesGraphViewRoot(self):
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original_ckpt = trackable_utils.Checkpoint(v=variables_lib.Variable(1.))
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copied_ckpt = copy.deepcopy(original_ckpt)
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self.assertIs(copied_ckpt._saver._graph_view.root, copied_ckpt)
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self.assertIsNot(copied_ckpt._saver._graph_view.root, original_ckpt)
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self.assertIs(copied_ckpt._saver._graph_view.root.v, copied_ckpt.v)
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self.assertIsNot(copied_ckpt._saver._graph_view.root.v, original_ckpt.v)
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def testDeepCopyCheckpointCopiesGraphViewAttachedDependencies(self):
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root = autotrackable.AutoTrackable()
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child = variables_lib.Variable(1.)
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original_ckpt = trackable_utils.Checkpoint(root=root, child=child)
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copied_ckpt = copy.deepcopy(original_ckpt)
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object_graph_view = copied_ckpt._saver._graph_view
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attached_dependencies = {
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dependency.name: dependency.ref
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for dependency in object_graph_view.attached_dependencies
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}
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self.assertIs(object_graph_view.root, copied_ckpt.root)
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self.assertIsNot(object_graph_view.root, original_ckpt.root)
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self.assertIs(attached_dependencies["root"], copied_ckpt.root)
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self.assertIs(attached_dependencies["child"], copied_ckpt.child)
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self.assertIsNot(attached_dependencies["child"], original_ckpt.child)
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@test_util.run_in_graph_and_eager_modes
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def testPassingCheckpointOptions(self):
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localhost = "/job:localhost/device:CPU:0"
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options = checkpoint_options.CheckpointOptions(
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experimental_io_device=localhost)
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prefix = os.path.join(self.get_temp_dir(), "ckpt")
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v = variable_scope.get_variable(name="v", initializer=0.)
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self.evaluate(v.initializer)
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ckpt = trackable_utils.Checkpoint(v=v)
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self.evaluate(trackable_utils.gather_initializers(ckpt))
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save_path = ckpt.save(file_prefix=prefix, options=options)
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status = ckpt.restore(save_path=save_path, options=options)
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del ckpt
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status.assert_consumed()
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# In graph mode, verify that the save and restore ops were set to run on
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# localhost.
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if not context.executing_eagerly():
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for op in ops.get_default_graph().get_operations():
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if op.type in ("SaveV2", "RestoreV2"):
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self.assertEqual(localhost, op.device)
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@test_util.run_in_graph_and_eager_modes
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def testFreezing(self):
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with test_util.use_gpu():
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# Save an object-based checkpoint using a frozen saver
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directory = self.get_temp_dir()
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prefix = os.path.join(directory, "ckpt")
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v = resource_variable_ops.ResourceVariable(0, dtype=dtypes.int64)
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checkpoint = trackable_utils.Checkpoint(v=v)
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self.evaluate(v.assign(3))
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# Create the save counter so assert_consumed doesn't complain about it not
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# existing in the checkpoint on restore.
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self.evaluate(checkpoint.save_counter.assign(12))
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saver = trackable_utils.frozen_saver(checkpoint)
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with ops.device("cpu:0"):
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prefix_tensor = constant_op.constant(prefix)
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self.evaluate(saver.save(prefix_tensor))
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self.evaluate(v.assign(10))
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# Use the frozen saver to restore the same object graph
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self.evaluate(saver.restore(prefix_tensor))
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self.assertEqual(3, self.evaluate(v))
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# Restore using another frozen saver on an identical object graph
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del v, checkpoint, saver
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v = resource_variable_ops.ResourceVariable(0, dtype=dtypes.int64)
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checkpoint = trackable_utils.Checkpoint(v=v)
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saver = trackable_utils.frozen_saver(checkpoint)
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self.evaluate(saver.restore(prefix_tensor))
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self.assertEqual(3, self.evaluate(v))
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# Restore as an object-based checkpoint
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del v, checkpoint, saver
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checkpoint = trackable_utils.Checkpoint()
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status = checkpoint.restore(prefix)
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v = resource_variable_ops.ResourceVariable(0, dtype=dtypes.int64)
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if context.executing_eagerly():
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self.assertEqual(12, self.evaluate(checkpoint.save_counter))
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self.assertEqual(0, self.evaluate(v))
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checkpoint.v = v
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status.assert_consumed().run_restore_ops()
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self.assertEqual(3, self.evaluate(v))
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self.assertEqual(12, self.evaluate(checkpoint.save_counter))
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@parameterized.named_parameters(
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("_enable_async_ckpt", True),
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("_disable_async_ckpt", False)
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)
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@test_util.run_in_graph_and_eager_modes
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def testCustomNumbering(self, enable_async_ckpt):
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directory = self.get_temp_dir()
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prefix = os.path.join(directory, "ckpt")
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step = resource_variable_ops.ResourceVariable(0, dtype=dtypes.int64)
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checkpoint = trackable_utils.Checkpoint(step=step)
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ckpt_options = checkpoint_options.CheckpointOptions(
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experimental_enable_async_checkpoint=enable_async_ckpt)
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self.evaluate(step.initializer)
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for i in range(5):
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path = checkpoint.write("%s-%d" % (prefix, self.evaluate(step)),
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options=ckpt_options)
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expected_suffix = "-%d" % (2 * i,)
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if not path.endswith(expected_suffix):
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self.fail("%s should have suffix %s" % (path, expected_suffix))
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self.evaluate(step.assign_add(2))
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def testPartialRestoreWarningAttribute(self):
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with context.eager_mode():
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original_root = trackable_utils.Checkpoint(v1=variables_lib.Variable(2.),
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v2=variables_lib.Variable(3.))
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prefix = os.path.join(self.get_temp_dir(), "ckpt")
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save_path = original_root.save(prefix)
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partial_root = trackable_utils.Checkpoint(v1=base.Trackable(),
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v2=variables_lib.Variable(0.))
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weak_partial_root = weakref.ref(partial_root)
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with test.mock.patch.object(logging, "warning") as mock_log:
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# Note: Unlike in testPartialRestoreWarningObject, the warning actually
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# prints immediately here, since all of the objects have been created
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# and there's no deferred restoration sitting around.
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partial_root.restore(save_path)
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self.assertEqual(3., partial_root.v2.numpy())
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del partial_root
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self.assertIsNone(weak_partial_root())
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messages = str(mock_log.call_args_list)
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self.assertIn("(root).v1", messages)
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self.assertNotIn("(root).v2", messages)
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self.assertIn("expect_partial()", messages)
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def testAttributeException(self):
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with context.eager_mode():
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original_root = trackable_utils.Checkpoint(v1=variables_lib.Variable(2.),
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v2=variables_lib.Variable(3.))
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prefix = os.path.join(self.get_temp_dir(), "ckpt")
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save_path = original_root.save(prefix)
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partial_root = trackable_utils.Checkpoint(v1=base.Trackable(),
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v2=variables_lib.Variable(0.))
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status = partial_root.restore(save_path)
|
|
with self.assertRaisesRegex(AssertionError,
|
|
r"Unused attributes(.|\n)*\(root\).v1"):
|
|
status.assert_consumed()
|
|
|
|
def testSilencePartialWarning(self):
|
|
with context.eager_mode():
|
|
original_root = trackable_utils.Checkpoint(v1=variables_lib.Variable(2.),
|
|
v2=variables_lib.Variable(3.))
|
|
prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
save_path = original_root.save(prefix)
|
|
partial_root = trackable_utils.Checkpoint(v1=variables_lib.Variable(0.))
|
|
weak_partial_root = weakref.ref(partial_root)
|
|
weak_v1 = weakref.ref(partial_root.v1)
|
|
partial_root.restore(save_path).expect_partial()
|
|
self.assertEqual(2., partial_root.v1.numpy())
|
|
with test.mock.patch.object(logging, "warning") as mock_log:
|
|
del partial_root
|
|
self.assertIsNone(weak_partial_root())
|
|
self.assertIsNone(weak_v1())
|
|
self.assertEmpty(mock_log.call_args_list)
|
|
|
|
def _get_checkpoint_name(self, name):
|
|
root = autotrackable.AutoTrackable()
|
|
trackable_utils.add_variable(
|
|
root, name=name, shape=[1, 2], dtype=dtypes.float64)
|
|
checkpoint_key = _get_all_checkpoint_names(root)[0]
|
|
with ops.name_scope("root/" + checkpoint_key):
|
|
pass # Make sure we can use this as an op name if we prefix it.
|
|
return checkpoint_key
|
|
|
|
@test_util.run_in_graph_and_eager_modes(assert_no_eager_garbage=True)
|
|
def testVariableNameEscaping(self):
|
|
suffix = "/.ATTRIBUTES/VARIABLE_VALUE"
|
|
self.assertEqual(r"a.Sb.Sc" + suffix, self._get_checkpoint_name(r"a/b/c"))
|
|
self.assertEqual(r"b" + suffix, self._get_checkpoint_name(r"b"))
|
|
self.assertEqual(r"c.S" + suffix, self._get_checkpoint_name(r"c/"))
|
|
self.assertEqual(r"d.S..S" + suffix, self._get_checkpoint_name(r"d/.S"))
|
|
self.assertEqual(r"d.S..ATTRIBUTES.Sf" + suffix,
|
|
self._get_checkpoint_name(r"d/.ATTRIBUTES/f"))
|
|
|
|
@test_util.run_in_graph_and_eager_modes(assert_no_eager_garbage=True)
|
|
def testNumberedPath(self):
|
|
root = autotrackable.AutoTrackable()
|
|
leaf = autotrackable.AutoTrackable()
|
|
root.leaf = leaf
|
|
trackable_utils.add_variable(leaf, name="v", shape=[])
|
|
checkpoint_key = _get_all_checkpoint_names(root)[0]
|
|
self.assertEqual(r"leaf/v/.ATTRIBUTES/VARIABLE_VALUE", checkpoint_key)
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testLocalNameValidation(self):
|
|
root = autotrackable.AutoTrackable()
|
|
leaf = autotrackable.AutoTrackable()
|
|
# Dots are escaped, which avoids conflicts with reserved names.
|
|
root._track_trackable(leaf, name=".ATTRIBUTES")
|
|
trackable_utils.add_variable(trackable=leaf, name="a", shape=[])
|
|
checkpoint_key = _get_all_checkpoint_names(root)[0]
|
|
self.assertEqual("..ATTRIBUTES/a/.ATTRIBUTES/VARIABLE_VALUE",
|
|
checkpoint_key)
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testLateDependencyTracking(self):
|
|
|
|
class Dependency(autotrackable.AutoTrackable):
|
|
|
|
def build(self):
|
|
self.var = trackable_utils.add_variable(
|
|
self, "var", initializer=0.)
|
|
|
|
class LateDependencies(trackable_utils.Checkpoint):
|
|
|
|
def add_dep(self):
|
|
self.dep = Dependency()
|
|
self.dep.build()
|
|
|
|
original = LateDependencies()
|
|
original.add_dep()
|
|
self.evaluate(state_ops.assign(original.dep.var, 123.))
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = original.save(checkpoint_prefix)
|
|
load_into = LateDependencies()
|
|
status = load_into.restore(save_path)
|
|
status.assert_existing_objects_matched()
|
|
with self.assertRaises(AssertionError):
|
|
status.assert_consumed()
|
|
load_into.add_dep()
|
|
status.assert_consumed()
|
|
status.assert_existing_objects_matched().run_restore_ops()
|
|
self.assertEqual(123., self.evaluate(load_into.dep.var))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testDepAfterVar(self):
|
|
|
|
class Dependency(autotrackable.AutoTrackable):
|
|
|
|
def build(self):
|
|
self.var = trackable_utils.add_variable(
|
|
self, "var", initializer=0.)
|
|
|
|
class DepAfterVar(trackable_utils.Checkpoint):
|
|
|
|
def add_dep(self):
|
|
dep = Dependency()
|
|
dep.build()
|
|
self.dep = dep
|
|
|
|
dep_after_var = DepAfterVar()
|
|
dep_after_var.add_dep()
|
|
self.evaluate(state_ops.assign(dep_after_var.dep.var, -14.))
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = dep_after_var.save(checkpoint_prefix)
|
|
|
|
loaded_dep_after_var = DepAfterVar()
|
|
status = loaded_dep_after_var.restore(save_path)
|
|
loaded_dep_after_var.add_dep()
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertEqual(-14., self.evaluate(loaded_dep_after_var.dep.var))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testOverlappingRestores(self):
|
|
checkpoint_directory = self.get_temp_dir()
|
|
save_root = trackable_utils.Checkpoint()
|
|
save_root.dep = autotrackable.AutoTrackable()
|
|
save_root.dep.var = trackable_utils.add_variable(
|
|
save_root.dep, name="var", initializer=0.)
|
|
self.evaluate(state_ops.assign(save_root.dep.var, 12.))
|
|
first_path = save_root.save(os.path.join(checkpoint_directory, "first"))
|
|
self.evaluate(state_ops.assign(save_root.dep.var, 13.))
|
|
second_path = save_root.save(os.path.join(checkpoint_directory, "second"))
|
|
|
|
first_root = trackable_utils.Checkpoint()
|
|
second_root = trackable_utils.Checkpoint()
|
|
first_status = first_root.restore(first_path)
|
|
second_status = second_root.restore(second_path)
|
|
load_dep = autotrackable.AutoTrackable()
|
|
load_dep.var = trackable_utils.add_variable(
|
|
load_dep, name="var", shape=[])
|
|
first_root.dep = load_dep
|
|
first_status.assert_consumed()
|
|
first_status.run_restore_ops()
|
|
self.assertEqual(12., self.evaluate(load_dep.var))
|
|
second_root.dep = load_dep
|
|
second_status.assert_consumed()
|
|
second_status.run_restore_ops()
|
|
self.assertEqual(13., self.evaluate(load_dep.var))
|
|
|
|
# Try again with the order of the restore() reversed. The last restore
|
|
# determines the final value.
|
|
first_root = trackable_utils.Checkpoint()
|
|
second_root = trackable_utils.Checkpoint()
|
|
second_status = second_root.restore(second_path)
|
|
first_status = first_root.restore(first_path)
|
|
load_dep = autotrackable.AutoTrackable()
|
|
load_dep.var = trackable_utils.add_variable(
|
|
load_dep, name="var", shape=[])
|
|
first_root.dep = load_dep
|
|
first_status.assert_consumed()
|
|
first_status.run_restore_ops()
|
|
self.assertEqual(12., self.evaluate(load_dep.var))
|
|
second_root.dep = load_dep
|
|
second_status.assert_consumed()
|
|
second_status.run_restore_ops()
|
|
self.assertEqual(12., self.evaluate(load_dep.var))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testAmbiguousLoad(self):
|
|
# Not OK to split one checkpoint object into two
|
|
checkpoint_directory = self.get_temp_dir()
|
|
save_root = trackable_utils.Checkpoint()
|
|
save_root.dep_one = autotrackable.AutoTrackable()
|
|
save_root.dep_two = autotrackable.AutoTrackable()
|
|
dep_three = autotrackable.AutoTrackable()
|
|
save_root.dep_one.dep_three = dep_three
|
|
save_root.dep_two.dep_three = dep_three
|
|
trackable_utils.add_variable(dep_three, name="var", initializer=0.)
|
|
self.evaluate(trackable_utils.gather_initializers(save_root))
|
|
save_path = save_root.save(os.path.join(checkpoint_directory, "ckpt"))
|
|
load_root = trackable_utils.Checkpoint()
|
|
status = load_root.restore(save_path)
|
|
load_root.dep_one = autotrackable.AutoTrackable()
|
|
load_root.dep_two = autotrackable.AutoTrackable()
|
|
load_root.dep_one.dep_three = autotrackable.AutoTrackable()
|
|
load_root.dep_two.dep_three = autotrackable.AutoTrackable()
|
|
trackable_utils.add_variable(
|
|
load_root.dep_one.dep_three, name="var", initializer=0.)
|
|
trackable_utils.add_variable(
|
|
load_root.dep_two.dep_three, name="var", initializer=0.)
|
|
with self.assertRaises(AssertionError):
|
|
status.assert_consumed()
|
|
with self.assertRaises(AssertionError):
|
|
status.assert_existing_objects_matched()
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testObjectsCombined(self):
|
|
# Currently fine to load two checkpoint objects into one Python object
|
|
checkpoint_directory = self.get_temp_dir()
|
|
save_root = trackable_utils.Checkpoint()
|
|
save_root.dep_one = autotrackable.AutoTrackable()
|
|
save_root.dep_two = autotrackable.AutoTrackable()
|
|
trackable_utils.add_variable(
|
|
save_root.dep_one, name="var1", initializer=32., dtype=dtypes.float64)
|
|
trackable_utils.add_variable(
|
|
save_root.dep_two, name="var2", initializer=64., dtype=dtypes.float64)
|
|
self.evaluate(trackable_utils.gather_initializers(save_root))
|
|
save_path = save_root.save(os.path.join(checkpoint_directory, "ckpt"))
|
|
load_root = trackable_utils.Checkpoint()
|
|
load_root.dep_one = autotrackable.AutoTrackable()
|
|
load_root.dep_two = load_root.dep_one
|
|
v1 = trackable_utils.add_variable(
|
|
load_root.dep_one, name="var1", shape=[], dtype=dtypes.float64)
|
|
v2 = trackable_utils.add_variable(
|
|
load_root.dep_one, name="var2", shape=[], dtype=dtypes.float64)
|
|
status = load_root.restore(
|
|
save_path).assert_consumed().assert_existing_objects_matched()
|
|
status.run_restore_ops()
|
|
self.assertEqual(32., self.evaluate(v1))
|
|
self.assertEqual(64., self.evaluate(v2))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testEmptyContainersIgnored(self):
|
|
checkpoint_directory = self.get_temp_dir()
|
|
save_root = trackable_utils.Checkpoint(a=[])
|
|
path = save_root.save(checkpoint_directory)
|
|
load_root = trackable_utils.Checkpoint(b=[])
|
|
load_root.dep = []
|
|
load_root.dep.append([])
|
|
status = load_root.restore(path)
|
|
status.assert_consumed()
|
|
status.assert_existing_objects_matched()
|
|
status.assert_nontrivial_match()
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testDependencyLoop(self):
|
|
# Note: this test creates garbage during eager execution because it
|
|
# purposefully creates a reference cycle.
|
|
first = trackable_utils.Checkpoint()
|
|
second = trackable_utils.Checkpoint()
|
|
first.second = second
|
|
second.first = first
|
|
first.v = trackable_utils.add_variable(
|
|
first, "v1", initializer=[3., 1., 4.])
|
|
second.v = trackable_utils.add_variable(
|
|
second, "v2", initializer=[1., 1., 2., 3.])
|
|
self.evaluate(trackable_utils.gather_initializers(first))
|
|
checkpoint_directory = self.get_temp_dir()
|
|
save_path = first.save(os.path.join(checkpoint_directory, "ckpt"))
|
|
|
|
# Test deferred loading
|
|
first_load = trackable_utils.Checkpoint()
|
|
status = first_load.restore(save_path)
|
|
second_load = autotrackable.AutoTrackable()
|
|
first_load.second = second_load
|
|
second_load.first = first_load
|
|
with self.assertRaises(AssertionError):
|
|
status.assert_consumed()
|
|
first_load.v = trackable_utils.add_variable(
|
|
first_load, "v1", shape=[3])
|
|
second_load.v = trackable_utils.add_variable(
|
|
second_load, "v2", shape=[4])
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertAllEqual([3., 1., 4.], self.evaluate(first_load.v))
|
|
self.assertAllEqual([1., 1., 2., 3.], self.evaluate(second_load.v))
|
|
|
|
# Test loading when variables have already been created
|
|
self.evaluate(first_load.v.assign([2., 7., 1.]))
|
|
self.assertAllEqual([2., 7., 1.], self.evaluate(first_load.v))
|
|
self.evaluate(second_load.v.assign([2., 7., 1., 8.]))
|
|
self.assertAllEqual([2., 7., 1., 8.], self.evaluate(second_load.v))
|
|
status = first_load.restore(save_path).assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertAllEqual([3., 1., 4.], self.evaluate(first_load.v))
|
|
self.assertAllEqual([1., 1., 2., 3.], self.evaluate(second_load.v))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testRestoreOnAssign(self):
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
first = trackable_utils.Checkpoint()
|
|
first.var1 = variables_lib.Variable(0., name="outside_var")
|
|
first.var2 = variables_lib.Variable(0., name="blah")
|
|
self.evaluate(first.var1.assign(4.))
|
|
self.evaluate(first.var2.assign(8.))
|
|
save_path = first.save(checkpoint_prefix)
|
|
|
|
second = trackable_utils.Checkpoint()
|
|
second.var2 = variables_lib.Variable(0., name="blah")
|
|
status = second.restore(save_path)
|
|
recreated_var1 = variables_lib.Variable(0., name="outside_var")
|
|
status.run_restore_ops()
|
|
self.assertEqual(8., self.evaluate(second.var2))
|
|
self.evaluate(recreated_var1.assign(-2.))
|
|
self.assertEqual(-2., self.evaluate(recreated_var1))
|
|
second.var1 = recreated_var1
|
|
status.run_restore_ops()
|
|
self.assertEqual(4., self.evaluate(recreated_var1))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testCheckpointState(self):
|
|
# No checkpoints are deleted by default
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
obj = autotrackable.AutoTrackable()
|
|
obj.var = variable_scope.get_variable(name="v", initializer=0.)
|
|
self.evaluate(trackable_utils.gather_initializers(obj))
|
|
saver = trackable_utils.Checkpoint(obj=obj)
|
|
for _ in range(10):
|
|
saver.save(checkpoint_prefix)
|
|
expected_filenames = ["checkpoint"]
|
|
for checkpoint_number in range(1, 11):
|
|
expected_filenames.append("ckpt-%d.index" % (checkpoint_number,))
|
|
self.assertEmpty(
|
|
set(expected_filenames)
|
|
- set(os.listdir(checkpoint_directory)))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def testCheckpointStateChangingVarList(self):
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
obj = autotrackable.AutoTrackable()
|
|
obj.var = variable_scope.get_variable(name="v", initializer=0.)
|
|
self.evaluate(trackable_utils.gather_initializers(obj))
|
|
checkpoint = trackable_utils.Checkpoint(obj=obj)
|
|
looped_variables = []
|
|
for iteration in range(10):
|
|
new_variable = resource_variable_ops.ResourceVariable(iteration)
|
|
self.evaluate(new_variable.initializer)
|
|
setattr(checkpoint, "var_%d" % iteration, new_variable)
|
|
checkpoint.save(checkpoint_prefix)
|
|
looped_variables.append(new_variable)
|
|
expected_filenames = ["checkpoint"]
|
|
# We've copied the saver each time, but checkpoint management should still
|
|
# be consistent. Nothing gets deleted.
|
|
for checkpoint_number in range(1, 11):
|
|
expected_filenames.append("ckpt-%d.index" % (checkpoint_number,))
|
|
self.assertEmpty(
|
|
set(expected_filenames)
|
|
- set(os.listdir(checkpoint_directory)))
|
|
self.assertEqual(
|
|
checkpoint_prefix + "-10",
|
|
checkpoint_management.latest_checkpoint(checkpoint_directory))
|
|
# The checkpoint list only contains the most recent checkpoint, but they're
|
|
# all on disk. This means we won't eventually run into proto size limits.
|
|
self.assertEqual(
|
|
[checkpoint_prefix + "-10"],
|
|
(checkpoint_management.get_checkpoint_state(checkpoint_directory)
|
|
.all_model_checkpoint_paths))
|
|
for v in looped_variables:
|
|
self.evaluate(v.assign(314))
|
|
checkpoint.restore(checkpoint_prefix + "-6").run_restore_ops()
|
|
self.assertEqual(314, self.evaluate(checkpoint.var_9))
|
|
self.assertEqual(314, self.evaluate(checkpoint.var_8))
|
|
self.assertEqual(314, self.evaluate(checkpoint.var_6))
|
|
self.assertEqual(5, self.evaluate(checkpoint.var_5))
|
|
self.assertEqual(1, self.evaluate(checkpoint.var_1))
|
|
self.assertEqual(0, self.evaluate(checkpoint.var_0))
|
|
checkpoint.restore(checkpoint_prefix + "-10").run_restore_ops()
|
|
self.assertEqual(9, self.evaluate(checkpoint.var_9))
|
|
self.assertEqual(8, self.evaluate(checkpoint.var_8))
|
|
self.assertEqual(1, self.evaluate(checkpoint.var_1))
|
|
self.assertEqual(0, self.evaluate(checkpoint.var_0))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_restore_after_adding_empty_trackable_data_structure(self):
|
|
model = NonLayerTrackable()
|
|
checkpoint = trackable_utils.Checkpoint(model=model)
|
|
checkpoint.restore(None).initialize_or_restore()
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = checkpoint.save(checkpoint_prefix)
|
|
|
|
del model, checkpoint
|
|
|
|
model = NonLayerTrackable()
|
|
model.dict = {"a": 1}
|
|
model.list = {"b": 1}
|
|
checkpoint = trackable_utils.Checkpoint(model=model)
|
|
load_status = checkpoint.restore(save_path)
|
|
load_status.assert_existing_objects_matched().run_restore_ops()
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_write_checkpoint_path_str_from_function(self):
|
|
|
|
checkpoint_prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
save_checkpoint = trackable_utils.Checkpoint(v=variables_lib.Variable(1.))
|
|
|
|
@def_function.function
|
|
def _write_checkpoint():
|
|
save_path = save_checkpoint.write(checkpoint_prefix)
|
|
return save_path
|
|
|
|
self.evaluate([save_checkpoint.v.initializer])
|
|
self.evaluate(_write_checkpoint())
|
|
load_checkpoint = trackable_utils.Checkpoint(v=variables_lib.Variable(0.))
|
|
# Use read() instead of restore() which allows us to check that all
|
|
# existing objects were loaded.
|
|
status = load_checkpoint.read(checkpoint_prefix)
|
|
status.assert_existing_objects_matched()
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertEqual(1., self.evaluate(load_checkpoint.v))
|
|
self.evaluate(save_checkpoint.v.assign(3.))
|
|
self.evaluate(_write_checkpoint())
|
|
self.evaluate(save_checkpoint.v.assign(0.))
|
|
status = load_checkpoint.read(checkpoint_prefix)
|
|
status.assert_existing_objects_matched()
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertEqual(3., self.evaluate(load_checkpoint.v))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_write_checkpoint_path_tensor_from_function(self):
|
|
# Same as the previous test, but the path is a tensor not a python string.
|
|
checkpoint_prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
|
|
checkpoint_prefix_tensor = constant_op.constant(checkpoint_prefix)
|
|
|
|
save_checkpoint = trackable_utils.Checkpoint(v=variables_lib.Variable(1.))
|
|
|
|
@def_function.function
|
|
def _write_checkpoint(prefix):
|
|
save_path = save_checkpoint.write(prefix)
|
|
return save_path
|
|
|
|
self.evaluate([save_checkpoint.v.initializer])
|
|
self.evaluate(_write_checkpoint(checkpoint_prefix_tensor))
|
|
load_checkpoint = trackable_utils.Checkpoint(v=variables_lib.Variable(0.))
|
|
# Use read() instead of restore() which allows us to check that all
|
|
# existing objects were loaded.
|
|
status = load_checkpoint.read(checkpoint_prefix)
|
|
status.assert_existing_objects_matched()
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertEqual(1., self.evaluate(load_checkpoint.v))
|
|
self.evaluate(save_checkpoint.v.assign(3.))
|
|
self.evaluate(_write_checkpoint(checkpoint_prefix_tensor))
|
|
self.evaluate(save_checkpoint.v.assign(0.))
|
|
status = load_checkpoint.read(checkpoint_prefix)
|
|
status.assert_existing_objects_matched()
|
|
status.assert_consumed()
|
|
status.run_restore_ops()
|
|
self.assertEqual(3., self.evaluate(load_checkpoint.v))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_write_checkpoint_path_tensor_does_not_exist_from_function(self):
|
|
# Same as the previous test, but the path is a tensor not a python string.
|
|
checkpoint_prefix = os.path.join(
|
|
self.get_temp_dir(), "DOES_NOT_EXIST", "ckpt")
|
|
|
|
checkpoint_prefix_tensor = constant_op.constant(checkpoint_prefix)
|
|
|
|
save_checkpoint = trackable_utils.Checkpoint(v=variables_lib.Variable(1.))
|
|
|
|
@def_function.function
|
|
def _write_checkpoint(prefix):
|
|
save_path = save_checkpoint.write(prefix)
|
|
return save_path
|
|
|
|
self.evaluate([save_checkpoint.v.initializer])
|
|
with self.assertRaises(errors_impl.NotFoundError):
|
|
self.evaluate(_write_checkpoint(checkpoint_prefix_tensor))
|
|
|
|
@parameterized.named_parameters(
|
|
("_enable_async_ckpt", True),
|
|
("_disable_async_ckpt", False))
|
|
def test_inititialize_with_data_structures(self, enable_async_ckpt):
|
|
checkpoint = trackable_utils.Checkpoint(
|
|
a=[variables_lib.Variable(0.), variables_lib.Variable(1.)],
|
|
b={"a": variables_lib.Variable(2.), "b": variables_lib.Variable(3.)})
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
ckpt_options = checkpoint_options.CheckpointOptions(
|
|
experimental_enable_async_checkpoint=enable_async_ckpt)
|
|
save_path = checkpoint.save(file_prefix=checkpoint_prefix,
|
|
options=ckpt_options)
|
|
load_checkpoint = trackable_utils.Checkpoint(
|
|
a=[variables_lib.Variable(4.), variables_lib.Variable(5.)],
|
|
b={"a": variables_lib.Variable(6.), "b": variables_lib.Variable(7.)})
|
|
# When async checkpoint is enabled, we need to first make sure that the
|
|
# checkpoint saving is fully complete before the checkpoint file can be
|
|
# loaded by another checkpoint instance. Calling checkpoint.restore() is a
|
|
# trick to make sure its async thread is joined.
|
|
if enable_async_ckpt:
|
|
checkpoint.restore(save_path)
|
|
load_checkpoint.restore(save_path)
|
|
self.assertAllClose(self.evaluate(load_checkpoint.a), [0, 1])
|
|
self.assertAllClose(self.evaluate(load_checkpoint.b), {"a": 2, "b": 3})
|
|
|
|
def _create_trackable(self):
|
|
class Model(autotrackable.AutoTrackable):
|
|
|
|
def __init__(self):
|
|
self.v = variables_lib.Variable(2.)
|
|
|
|
def __call__(self, x):
|
|
return self.v * x
|
|
return Model()
|
|
|
|
def test_initialize_with_root_object(self):
|
|
model = self._create_trackable()
|
|
input_value = constant_op.constant([[3.]])
|
|
expected_output = self.evaluate(model(input_value))
|
|
model.deferred_variable = variables_lib.Variable(5.)
|
|
|
|
checkpoint = trackable_utils.Checkpoint(model)
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = checkpoint.save(checkpoint_prefix)
|
|
|
|
new_model = self._create_trackable()
|
|
load_checkpoint = trackable_utils.Checkpoint(new_model)
|
|
load_checkpoint.restore(save_path)
|
|
self.assertAllClose(expected_output, new_model(input_value))
|
|
|
|
new_model.deferred_variable = variables_lib.Variable(1.)
|
|
self.assertEqual(self.evaluate(new_model.deferred_variable), 5)
|
|
|
|
def test_initialize_with_root_object_and_kwargs(self):
|
|
model = self._create_trackable()
|
|
model.v.assign(3.)
|
|
separate_variable = variables_lib.Variable(5.)
|
|
|
|
with self.assertRaisesRegex(ValueError, "root.v already exists"):
|
|
trackable_utils.Checkpoint(model, v=separate_variable)
|
|
|
|
checkpoint = trackable_utils.Checkpoint(
|
|
model, separate_variable=separate_variable)
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = checkpoint.save(checkpoint_prefix)
|
|
|
|
# Case 1: Loading checkpoint with same configuration.
|
|
new_model = self._create_trackable()
|
|
separate_variable = variables_lib.Variable(1.)
|
|
load_checkpoint = trackable_utils.Checkpoint(
|
|
new_model, separate_variable=separate_variable)
|
|
load_checkpoint.restore(save_path).assert_consumed()
|
|
self.assertEqual(self.evaluate(new_model.v), 3)
|
|
self.assertEqual(self.evaluate(separate_variable), 5)
|
|
self.assertEqual(self.evaluate(load_checkpoint.save_counter), 1)
|
|
|
|
# Case 2: Loading checkpoint where v and separate_variable are swapped:
|
|
# v is not attached to the root, while separate variable is attached to root
|
|
new_model = autotrackable.AutoTrackable()
|
|
new_model.separate_variable = variables_lib.Variable(200.)
|
|
v = variables_lib.Variable(100.)
|
|
load_checkpoint = trackable_utils.Checkpoint(new_model, v=v)
|
|
load_checkpoint.restore(save_path).assert_consumed()
|
|
self.assertEqual(self.evaluate(v), 3)
|
|
self.assertEqual(self.evaluate(new_model.separate_variable), 5)
|
|
self.assertEqual(self.evaluate(load_checkpoint.save_counter), 1)
|
|
|
|
# Case 3: Loading checkpoint where no root object is specified
|
|
separate_variable = variables_lib.Variable(200.)
|
|
v = variables_lib.Variable(100.)
|
|
load_checkpoint = trackable_utils.Checkpoint(
|
|
v=v, separate_variable=separate_variable)
|
|
load_checkpoint.restore(save_path).assert_consumed()
|
|
self.assertEqual(self.evaluate(v), 3)
|
|
self.assertEqual(self.evaluate(new_model.separate_variable), 5)
|
|
self.assertEqual(self.evaluate(load_checkpoint.save_counter), 1)
|
|
|
|
def test_checkpoint_saved_model_compatibility(self):
|
|
model = self._create_trackable()
|
|
input_value = constant_op.constant([[3.]])
|
|
expected_output = self.evaluate(model(input_value))
|
|
model.deferred_variable = variables_lib.Variable(5.)
|
|
saved_model_dir = os.path.join(self.get_temp_dir(), "saved_model")
|
|
saved_model_save.save(model, saved_model_dir)
|
|
|
|
new_model = self._create_trackable()
|
|
load_checkpoint = trackable_utils.Checkpoint(new_model)
|
|
|
|
with self.assertRaisesRegex(
|
|
errors_impl.NotFoundError,
|
|
"Error when restoring from checkpoint or SavedModel"):
|
|
load_checkpoint.restore(saved_model_dir + "no").expect_partial()
|
|
|
|
load_checkpoint.restore(saved_model_dir).expect_partial()
|
|
self.assertAllClose(expected_output, new_model(input_value))
|
|
|
|
new_model.deferred_variable = variables_lib.Variable(1.)
|
|
self.assertEqual(self.evaluate(new_model.deferred_variable), 5)
|
|
|
|
def test_deferred_dependency_avoids_reference_cycles(self):
|
|
# Tests that there are no reference cycles when running garbage collection.
|
|
# Python uses reference counts as the primary garbage collector, which will
|
|
# not delete and finalize (__del__) objects in a cycle. The deletion is
|
|
# eventually triggered by gc, which only runs when the garbage has reached
|
|
# a certain threshold.
|
|
|
|
delete_counter = 0
|
|
|
|
class TrackableWithDel(autotrackable.AutoTrackable):
|
|
|
|
def __del__(self):
|
|
nonlocal delete_counter
|
|
delete_counter += 1
|
|
|
|
x = autotrackable.AutoTrackable()
|
|
x.v = variables_lib.Variable(100.)
|
|
x.has_del = TrackableWithDel()
|
|
|
|
checkpoint = trackable_utils.Checkpoint(x)
|
|
checkpoint_prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
save_path = checkpoint.save(checkpoint_prefix)
|
|
|
|
self.assertEqual(delete_counter, 0)
|
|
del checkpoint
|
|
del x
|
|
self.assertEqual(delete_counter, 1)
|
|
|
|
no_v = autotrackable.AutoTrackable()
|
|
no_v.has_del = TrackableWithDel()
|
|
checkpoint = trackable_utils.Checkpoint(no_v)
|
|
checkpoint.restore(save_path).expect_partial()
|
|
del checkpoint
|
|
del no_v
|
|
self.assertEqual(delete_counter, 2)
|
|
|
|
def test_defer_objects_with_values_only(self):
|
|
# Tests that deferred dependencies are only added if the node in the
|
|
# object graph has children or checkpointed values.
|
|
root = autotrackable.AutoTrackable()
|
|
root.branch_with_value = autotrackable.AutoTrackable()
|
|
root.branch_with_value.v = variables_lib.Variable(5.0)
|
|
root.branch_no_value = autotrackable.AutoTrackable()
|
|
root.branch_no_value.child = autotrackable.AutoTrackable()
|
|
root.v = variables_lib.Variable(1.0)
|
|
|
|
checkpoint = trackable_utils.Checkpoint(model=root)
|
|
checkpoint_prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
save_path = checkpoint.save(checkpoint_prefix)
|
|
|
|
new_root = autotrackable.AutoTrackable()
|
|
checkpoint = trackable_utils.Checkpoint(model=new_root)
|
|
checkpoint.restore(save_path)
|
|
|
|
# root should have two nodes with values/children (`branch-with_value`/`v`).
|
|
self.assertLen(new_root._deferred_dependencies, 2)
|
|
|
|
new_root.branch_no_value = autotrackable.AutoTrackable()
|
|
self.assertLen(new_root._deferred_dependencies, 2)
|
|
|
|
new_root.branch_with_value = autotrackable.AutoTrackable()
|
|
self.assertLen(new_root._deferred_dependencies, 1)
|
|
|
|
new_root.v = variables_lib.Variable(1.0)
|
|
self.assertEmpty(new_root._deferred_dependencies, 1)
|
|
|
|
def test_root_arg(self):
|
|
root = autotrackable.AutoTrackable()
|
|
root.v = variables_lib.Variable(1)
|
|
w = variables_lib.Variable(2)
|
|
y = variables_lib.Variable(3)
|
|
root_ckpt = trackable_utils.Checkpoint(root=root, w=w, y=y)
|
|
|
|
root2 = autotrackable.AutoTrackable()
|
|
root2.w = variables_lib.Variable(4)
|
|
v2 = variables_lib.Variable(5)
|
|
z = variables_lib.Variable(6)
|
|
root2_ckpt = trackable_utils.Checkpoint(root=root2,
|
|
v=v2,
|
|
z=z)
|
|
|
|
root_save_path = root_ckpt.save(os.path.join(self.get_temp_dir(),
|
|
"root_ckpt"))
|
|
root2_save_path = root2_ckpt.save(os.path.join(self.get_temp_dir(),
|
|
"root2_ckpt"))
|
|
|
|
root_ckpt.restore(root2_save_path)
|
|
root2_ckpt.restore(root_save_path)
|
|
|
|
self.assertEqual(root.v.numpy(), 5)
|
|
self.assertEqual(w.numpy(), 4)
|
|
self.assertEqual(y.numpy(), 3)
|
|
|
|
self.assertEqual(root2.w.numpy(), 2)
|
|
self.assertEqual(v2.numpy(), 1)
|
|
self.assertEqual(z.numpy(), 6)
|
|
|
|
def test_weakref_root(self):
|
|
root = autotrackable.AutoTrackable()
|
|
root.v = variables_lib.Variable(1)
|
|
ref = root.v.ref()
|
|
|
|
ckpt = trackable_utils.Checkpoint(root=weakref.ref(root))
|
|
save_path = ckpt.save(os.path.join(self.get_temp_dir(), "ckpt"))
|
|
root.v.assign(2)
|
|
ckpt.restore(save_path)
|
|
self.assertEqual(root.v.numpy(), 1)
|
|
|
|
del root
|
|
|
|
# Verifying if the variable is only referenced from `ref`.
|
|
# We expect the reference counter to be 1, but `sys.getrefcount` reports
|
|
# one higher reference counter because a temporary is created when we call
|
|
# sys.getrefcount(). Hence check if the number returned is 2.
|
|
# https://docs.python.org/3/library/sys.html#sys.getrefcount
|
|
self.assertEqual(sys.getrefcount(ref.deref()), 2)
|
|
|
|
def test_restore_incompatible_shape(self):
|
|
v = variables_lib.Variable([1.0, 1.0])
|
|
w = variables_lib.Variable([1.0])
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
save_path = ckpt.save(os.path.join(self.get_temp_dir(), "ckpt"))
|
|
|
|
with self.assertRaisesRegex(ValueError, "incompatible tensor with shape"):
|
|
trackable_utils.Checkpoint(v=w).restore(save_path)
|
|
|
|
def test_save_restore_fspath(self):
|
|
v = variables_lib.Variable(1.0)
|
|
w = variables_lib.Variable(0.0)
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
prefix = pathlib.Path(self.get_temp_dir()) / "ckpt"
|
|
save_path = ckpt.save(prefix)
|
|
save_path = pathlib.Path(save_path)
|
|
ckpt2 = trackable_utils.Checkpoint(v=w)
|
|
ckpt2.restore(save_path)
|
|
self.assertEqual(ckpt.v.numpy(), 1.0)
|
|
|
|
def test_read_write_fspath(self):
|
|
v = variables_lib.Variable(1.0)
|
|
w = variables_lib.Variable(0.0)
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
prefix = pathlib.Path(self.get_temp_dir()) / "ckpt"
|
|
save_path = ckpt.write(prefix)
|
|
save_path = pathlib.Path(save_path)
|
|
ckpt2 = trackable_utils.Checkpoint(v=w)
|
|
ckpt2.read(save_path)
|
|
self.assertEqual(ckpt.v.numpy(), 1.0)
|
|
|
|
@test_util.run_deprecated_v1
|
|
def test_save_in_graph_but_no_session(self):
|
|
v = variables_lib.Variable(1.0)
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
self.evaluate(v.initializer)
|
|
prefix = pathlib.Path(self.get_temp_dir()) / "ckpt"
|
|
with stack.default_session(None):
|
|
with self.assertRaisesRegex(RuntimeError, "create a session"):
|
|
ckpt.write(prefix)
|
|
|
|
def test_ckpt_files_closed_after_restoration(self):
|
|
if not psutil_import_succeeded:
|
|
self.skipTest(
|
|
"psutil is required to check that we've closed our files.")
|
|
root = autotrackable.AutoTrackable()
|
|
root.v = variables_lib.Variable(1)
|
|
ckpt = trackable_utils.Checkpoint(root=root)
|
|
save_path = ckpt.save(os.path.join(self.get_temp_dir(), "ckpt"))
|
|
|
|
root2 = autotrackable.AutoTrackable()
|
|
ckpt2 = trackable_utils.Checkpoint(root=root2)
|
|
ckpt2.restore(save_path)
|
|
|
|
proc = psutil.Process()
|
|
for file in proc.open_files():
|
|
self.assertNotIn(save_path, file[0])
|
|
|
|
def testLookupCache(self):
|
|
"""Ensure that Checkpoint.restore passes cached dependencies to lookup."""
|
|
root = autotrackable.AutoTrackable()
|
|
root.v1 = variables_lib.Variable(1)
|
|
root.v2 = variables_lib.Variable(2)
|
|
root.v3 = variables_lib.Variable(3)
|
|
|
|
ckpt = trackable_utils.Checkpoint(model=root)
|
|
save_path = ckpt.save(os.path.join(self.get_temp_dir(), "ckpt"))
|
|
|
|
called_with_cache = []
|
|
|
|
class LookupOverride(autotrackable.AutoTrackable):
|
|
def _lookup_dependency(self, name, cached_dependencies=None):
|
|
if cached_dependencies is not None:
|
|
called_with_cache.append(name)
|
|
return super()._lookup_dependency(name, cached_dependencies)
|
|
|
|
root2 = LookupOverride()
|
|
ckpt2 = trackable_utils.Checkpoint(model=root2)
|
|
ckpt2.restore(save_path)
|
|
self.assertCountEqual(called_with_cache, ["v1", "v2", "v3"])
|
|
|
|
@parameterized.named_parameters(
|
|
("_enable_async_ckpt", True),
|
|
("_disable_async_ckpt", False)
|
|
)
|
|
def testCallbackWithManager(self, enable_async_ckpt):
|
|
"""Tests experimental_write_callback with a checkpoint manager."""
|
|
# 1. Define checkpoint and manager accordingly
|
|
v = variables_lib.Variable(1.)
|
|
if enable_async_ckpt:
|
|
ckpt = async_checkpoint_helper.AsyncCheckpointHelper(
|
|
trackable_utils.Checkpoint,
|
|
v=v
|
|
)
|
|
else:
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
|
|
checkpoint_manager = checkpoint_management.CheckpointManager(
|
|
checkpoint=ckpt,
|
|
directory=os.path.join(self.get_temp_dir(), "ckpt"),
|
|
max_to_keep=None,
|
|
checkpoint_name="test-callback",
|
|
)
|
|
|
|
# 2. Define 2 callbacks, which will be executed in order as stated in the
|
|
# expected behavior of `CheckpointOptions.experimental_write_callbacks`
|
|
testing_list = []
|
|
test_str = "callback 2 was here"
|
|
# Define callback 1 that takes in 1 argument
|
|
def my_callback_1(save_path):
|
|
testing_list.append(save_path)
|
|
|
|
# Define callback 2 that takes in 0 argument
|
|
def my_callback_2():
|
|
testing_list.append(test_str)
|
|
|
|
# 3. Save with `options`
|
|
options = checkpoint_options.CheckpointOptions(
|
|
experimental_write_callbacks=[my_callback_1, my_callback_2]
|
|
)
|
|
save_path = checkpoint_manager.save(options=options)
|
|
|
|
# 4. Assert results
|
|
if enable_async_ckpt:
|
|
checkpoint_manager.sync() # otherwise callbacks may not have finished
|
|
# Ensure that user's options is not mutated by internal mechanisms. Here,
|
|
# we would internally register a callback `_record_and_sweep_state()`.
|
|
# Users should not have access to it, hence length still being 2.
|
|
self.assertLen(options.experimental_write_callbacks, 2)
|
|
# Ensure `_record_and_sweep_state()` executes and sets `_latest_checkpoint`
|
|
self.assertEqual(save_path, checkpoint_manager._latest_checkpoint)
|
|
# Ensure my_callback_1 is executed first
|
|
self.assertEqual(save_path, testing_list[0])
|
|
# Ensure my_callback_2 is executed second
|
|
self.assertEqual(test_str, testing_list[1])
|
|
# Ensure nothing else is written to `testing_list`
|
|
self.assertLen(testing_list, 2)
|
|
|
|
@parameterized.named_parameters(
|
|
("_async_ckpt_save", True, False, True),
|
|
("_async_ckpt_write", True, False, False),
|
|
("_regular_ckptV1_save", False, True, True),
|
|
("_regular_ckptV1_write", False, True, False),
|
|
("_regular_ckptV2_save", False, False, True),
|
|
("_regular_ckptV2_write", False, False, False)
|
|
)
|
|
def testCallbackWithoutManager(self, enable_async_ckpt, use_v1, use_save):
|
|
"""Tests experimental_write_callback without using a checkpoint manager."""
|
|
# Note that the underlying checkpoint of `AsyncCheckpoint.save()` will call
|
|
# `Checkpoint.save()`.
|
|
# The underlying checkpoint of `AsyncCheckpoint.write()` will call
|
|
# `Checkpoint.write()`.
|
|
|
|
# 1. Define checkpoint instance accordingly
|
|
v = variables_lib.Variable(1.)
|
|
prefix = os.path.join(self.get_temp_dir(), "ckpt")
|
|
|
|
if enable_async_ckpt:
|
|
ckpt = async_checkpoint_helper.AsyncCheckpointHelper(
|
|
trackable_utils.Checkpoint,
|
|
v=v
|
|
)
|
|
else:
|
|
if use_v1:
|
|
ckpt = trackable_utils.CheckpointV1(v=v)
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|
else:
|
|
ckpt = trackable_utils.Checkpoint(v=v)
|
|
|
|
# 2. Define 2 callbacks, which will be executed in order as stated in the
|
|
# expected behavior of `CheckpointOptions.experimental_write_callbacks`
|
|
testing_list = []
|
|
test_str = "callback 2 was here"
|
|
# Define callback 1 that takes in 1 argument
|
|
def my_callback_1(save_path):
|
|
testing_list.append(save_path)
|
|
|
|
# Define callback 2 that takes in 0 argument
|
|
def my_callback_2():
|
|
testing_list.append(test_str)
|
|
|
|
# 3. Save with `options`
|
|
options = checkpoint_options.CheckpointOptions(
|
|
experimental_write_callbacks=[my_callback_1, my_callback_2]
|
|
)
|
|
if use_save:
|
|
save_path = ckpt.save(prefix, options=options)
|
|
else:
|
|
save_path = ckpt.write(prefix, options=options)
|
|
|
|
# 4. Assert results
|
|
if enable_async_ckpt:
|
|
ckpt.sync() # otherwise callbacks may not have finished
|
|
# Ensure that user's options is not mutated by internal mechanisms. Here,
|
|
# if we are using regular checkpoint's save(), we would internally register
|
|
# a callback `_update_checkpoint_state_internal()`. Users should not have
|
|
# access to it, hence length still being 2.
|
|
self.assertLen(options.experimental_write_callbacks, 2)
|
|
# Ensure my_callback_1 is executed first
|
|
self.assertEqual(save_path, testing_list[0])
|
|
# Ensure my_callback_2 is executed second
|
|
self.assertEqual(test_str, testing_list[1])
|
|
# Ensure nothing else is written to `testing_list`
|
|
self.assertLen(testing_list, 2)
|
|
|
|
def test_callback_argument_error(self):
|
|
"""Ensure passing in a callback with more than 1 argument raises error."""
|
|
# Define callback 1 that takes in 1 argument
|
|
def my_callback_1(save_path):
|
|
return save_path
|
|
|
|
# Define callback 2 that takes in 2 arguments (would raise error)
|
|
def my_callback_2(save_path, another_argument):
|
|
return save_path, another_argument
|
|
|
|
with self.assertRaises(AssertionError):
|
|
_ = checkpoint_options.CheckpointOptions(
|
|
experimental_write_callbacks=[my_callback_1, my_callback_2]
|
|
)
|
|
|
|
def test_checkpoint_options_copyable(self):
|
|
"""Ensure that `CheckpointOptions` can be copied with `copy.deepcopy()`."""
|
|
def my_callback(save_path):
|
|
return save_path
|
|
|
|
def my_callback_2(save_path):
|
|
return save_path + "some string"
|
|
|
|
options_original = checkpoint_options.CheckpointOptions(
|
|
experimental_io_device="CPU:0",
|
|
enable_async=True,
|
|
experimental_write_callbacks=[my_callback]
|
|
)
|
|
|
|
options_copy = copy.copy(options_original)
|
|
|
|
options_copy.enable_async = False
|
|
options_copy.experimental_io_device = "CPU:1"
|
|
options_copy.experimental_write_callbacks.append(my_callback_2)
|
|
|
|
# Check that the original options instance is not affected
|
|
self.assertEqual(options_original.experimental_io_device, "CPU:0")
|
|
self.assertEqual(options_original.enable_async, True)
|
|
self.assertLen(options_original.experimental_write_callbacks, 1)
|
|
|
|
|
|
class SerializeToTensorTest(test.TestCase):
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_keys_and_metadata(self):
|
|
|
|
class MultiTensor(base.Trackable):
|
|
|
|
def __init__(self, v1, v2):
|
|
self.v1 = v1
|
|
self.v2 = v2
|
|
|
|
def _serialize_to_tensors(self):
|
|
return {"v1": self.v1, "v2": self.v2}
|
|
|
|
def _restore_from_tensors(self, restored_tensors):
|
|
return control_flow_ops.group(
|
|
self.v1.assign(restored_tensors["v1"]),
|
|
self.v2.assign(restored_tensors["v2"]))
|
|
|
|
root = MultiTensor(variables_lib.Variable(1), variables_lib.Variable(2))
|
|
child = MultiTensor(variables_lib.Variable(3), variables_lib.Variable(4))
|
|
|
|
ckpt = trackable_utils.Checkpoint(root=root, child=child)
|
|
self.evaluate([root.v1.initializer, root.v2.initializer,
|
|
child.v1.initializer, child.v2.initializer])
|
|
save_path = ckpt.save(os.path.join(self.get_temp_dir(), "ckpt"))
|
|
|
|
# Check the checkpoint contents and metadata.
|
|
reader = checkpoint_utils.load_checkpoint(save_path)
|
|
object_proto = trackable_utils.object_metadata(save_path)
|
|
root_attributes = object_proto.nodes[0].attributes
|
|
self.assertLen(root_attributes, 2)
|
|
self.assertDictEqual(
|
|
{"v1": "/.ATTRIBUTES/v1", "v2": "/.ATTRIBUTES/v2"},
|
|
{attr.name: attr.checkpoint_key for attr in root_attributes})
|
|
self.assertEqual(1, reader.get_tensor("/.ATTRIBUTES/v1"))
|
|
self.assertEqual(2, reader.get_tensor("/.ATTRIBUTES/v2"))
|
|
|
|
child_attributes = object_proto.nodes[1].attributes
|
|
self.assertLen(child_attributes, 2)
|
|
self.assertDictEqual(
|
|
{"v1": "child/.ATTRIBUTES/v1", "v2": "child/.ATTRIBUTES/v2"},
|
|
{attr.name: attr.checkpoint_key for attr in child_attributes})
|
|
self.assertEqual(3, reader.get_tensor("child/.ATTRIBUTES/v1"))
|
|
self.assertEqual(4, reader.get_tensor("child/.ATTRIBUTES/v2"))
|
|
|
|
# Try restoring the checkpoint.
|
|
self.evaluate([root.v1.assign(0), root.v2.assign(0), child.v1.assign(0),
|
|
child.v2.assign(0)])
|
|
ckpt.restore(save_path).assert_consumed().run_restore_ops()
|
|
|
|
self.assertAllEqual([1, 2, 3, 4],
|
|
self.evaluate([root.v1, root.v2, child.v1, child.v2]))
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_reference_variable(self):
|
|
# Test that refvariable is compatible with tf1 saver / tf2 checkpoint.
|
|
|
|
with self.cached_session() as sess:
|
|
root = autotrackable.AutoTrackable()
|
|
root.v = variable_v1.VariableV1(5, use_resource=False)
|
|
sess.run(root.v.initializer)
|
|
ckpt = trackable_utils.Checkpoint(root)
|
|
ckpt_path = os.path.join(self.get_temp_dir(), "ckpt")
|
|
ckpt.write(ckpt_path)
|
|
|
|
sess.run(root.v.assign(10))
|
|
saver = saver_lib.Saver(var_list=[root.v])
|
|
save_path = saver.save(sess, os.path.join(self.get_temp_dir(), "saver"))
|
|
|
|
ckpt.read(ckpt_path).assert_consumed().run_restore_ops()
|
|
self.assertEqual(5, sess.run(root.v))
|
|
|
|
saver.restore(sess, save_path)
|
|
self.assertEqual(10, sess.run(root.v))
|
|
|
|
|
|
class TemplateTests(parameterized.TestCase, test.TestCase):
|
|
|
|
@test_util.run_in_graph_and_eager_modes
|
|
def test_trackable_save_restore_nested(self):
|
|
|
|
def _inner_template():
|
|
v = variable_scope.get_variable(
|
|
"v", shape=[1], initializer=init_ops.zeros_initializer())
|
|
return v
|
|
|
|
def _outer_template():
|
|
first_inner = template.make_template("i1", _inner_template)
|
|
second_inner = template.make_template("i2", _inner_template)
|
|
v1 = first_inner()
|
|
v2 = second_inner()
|
|
v3 = second_inner()
|
|
return (first_inner, second_inner), (v1, v2, v3)
|
|
|
|
with variable_scope.variable_scope("ignored"):
|
|
save_template = template.make_template("s1", _outer_template)
|
|
save_root = trackable_utils.Checkpoint(my_template=save_template)
|
|
(inner_template_one, inner_template_two), _ = save_template()
|
|
self.evaluate(inner_template_one.variables[0].assign([20.]))
|
|
self.evaluate(inner_template_two.variables[0].assign([25.]))
|
|
checkpoint_directory = self.get_temp_dir()
|
|
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
|
|
save_path = save_root.save(checkpoint_prefix)
|
|
|
|
load_template = template.make_template("s2", _outer_template)
|
|
load_root = trackable_utils.Checkpoint(my_template=load_template)
|
|
status = load_root.restore(save_path)
|
|
(inner_template_one, inner_template_two), (v1, v2, v3) = load_template()
|
|
outer_template_dependencies = load_root.my_template._trackable_children()
|
|
self.assertLen(outer_template_dependencies, 2)
|
|
self.assertDictEqual({"i1": inner_template_one, "i2": inner_template_two},
|
|
outer_template_dependencies)
|
|
self.assertLen(inner_template_one._trackable_children(), 1)
|
|
self.assertIn("v", inner_template_one._trackable_children())
|
|
self.assertLen(inner_template_two._trackable_children(), 1)
|
|
self.assertIn("v", inner_template_two._trackable_children())
|
|
status.assert_consumed().run_restore_ops()
|
|
self.assertAllEqual([20.], self.evaluate(v1))
|
|
self.assertAllEqual([25.], self.evaluate(v2))
|
|
self.assertAllEqual([25.], self.evaluate(v3))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
ops.enable_eager_execution()
|
|
test.main()
|